Data Science, Professional Research and Analysis

Get the most from your data!

Our Services

Data Science and Processing at ALL Levels

Wood Analytics, LLC is headed by Dr. William Wood, a retired experimental physicist and data scientist from Los Alamos National Laboratory. We have a team of Science Management Experts who can help you and your business improve by jumping into the revolution of Machine Learning (ML), Artificial Intelligence (AI), and Data Science/Big Data Analytics. Our team has vast experience in the world of physical and data sciences experiment design, data collection and analysis. Contact us to discuss your needs.

Examples of Tools

Wide range of ML and mathematical tools: Analytics, Statistics, Data Cleaning, Hypothesis Testing, Regression, Classification, Natural Language Processing (NLP), Recommendation Systems, Deep Learning, Time Series Analysis, Unstructured Data Classification (series and image data), Python, FinTech, Scikit-Learn, TensorFlow, TKinter, EM Wave Interactions, Particle Energy Measurement, Image Analysis, Advanced Math and Statistics (Fourier, Wavelet, Inverse Problems, Diff Eq), Data Visualization.

Client Education

Although much has been made of Data Science, Artificial Intelligence, and Machine Learning in the media, we have found that seamless transition to applying ML and AI methods in your business often requires education in order to understand how these new methods miic and, typically, augment the processes which have traditionally been used in your line of business. The team at Wood Analytics works with you to build modern tools, but also to build your understanding of the new processes.

ML and AI Examples

Finance and Banking: Leverage your performance data to lower future risk and predict or monitor behavior;

Investing: Analyze time-series and price behavior to gain a predictive edge;

System Performance: Survival Analysis of systems or machines for prediction;

Real Estate: Loan performance modeling, market targeting, population and occupancy analysis and prediction;

Marketing: Decision making, customer churn, market segmentation and targeting;

Insurance: Customer performance, fraud detection, risk determination;

Computer Vision: Identify and alert across a broad range of arenas - safety, security, agriculture, retail, infrastructure, construction...;

Data Processing: Data cleaning and prep., statistical analyses, correlation, sorting, significance determination, hypothesis testing;